The authors created and preliminarily validated the first multiple-choice assessment (APSA) for students' ability to select algorithmic design paradigms, achieving a Cronbach's alpha of 0.73.
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Compares LLMs against semantic similarity for binary classification of student self-explanations in programming education.
GenAI produced larger self-efficacy gains but noticeably lower learning outcomes than live tutoring, with visualizations underused and GenAI facing barriers on advanced topics.
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Assessing Student Ability to Select an Algorithmic Paradigm
The authors created and preliminarily validated the first multiple-choice assessment (APSA) for students' ability to select algorithmic design paradigms, achieving a Cronbach's alpha of 0.73.
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Exploring the Effectiveness of Using LLMs for Automated Assessment of Student Self Explanations in Programming Education
Compares LLMs against semantic similarity for binary classification of student self-explanations in programming education.
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Characterization and Effects of CS2 Learning with GenAI, Visualization, and Human Support
GenAI produced larger self-efficacy gains but noticeably lower learning outcomes than live tutoring, with visualizations underused and GenAI facing barriers on advanced topics.